The students seeking admission in the B.Sc. / B.Sc. (Hons) / iMSc programme shall have passed the HSC examination (Class 12) or equivalent from a recognized board.
The candidate must have obtained the following minimum aggregate marks (grand total) at the above qualifying examination.
Qualified Class 12 in any discipline
JG University's M.Sc. in Clinical Embryology & Assisted Reproductive Technologies is a 2-year, 4-semester postgraduate programme that provides advanced academic and practical training in human reproductive biology and assisted reproductive techniques. The programme covers critical areas such as gametogenesis, embryology, reproductive endocrinology, in-vitro fertilization (IVF), cryopreservation, and embryo culture. With a curriculum rooted in scientific precision and clinical application, students gain hands-on experience in embryology labs, fertility clinics, and simulated IVF environments under the mentorship of skilled faculty and industry professionals. The programme emphasizes the ethical, technical, and scientific dimensions of reproductive healthcare, preparing graduates for careers in clinical embryology, fertility research, and assisted reproduction laboratories.nical Embryology [course] Assisted Reproductive Technologies
Fee structure for M.Sc. Clinical Embryology [course] Assisted Reproductive Technologies
Eligibility for M.Sc. Clinical Embryology [course] Assisted Reproductive Technologies
The candidate must have obtained the following minimum aggregate marks (grand total) at the above qualifying examination.
For open category candidates 45%
For reserved category candidates 40%
Programme designed as per National Education Policy 2020
Curriculum for M.Sc. Clinical Embryology [course] Assisted Reproductive Technologies
Hands-on laboratory work, coding practice, and project-based learning throughout the programme
Capstone projects, industrial immersion programmes, live assignments, and internships
Academic inspiration from premier institutions like IITs and IIMs with research-driven insights
Emphasis on analytical thinking, problem-solving, innovation, and data-driven decision-making
Flexible exit options as per National Education Policy
Objectives for M.Sc. Clinical Embryology [course] Assisted Reproductive Technologies
Combine strong theoretical foundations with practical application through laboratory work and project-based learning
Develop analytical thinking, innovation, and data-driven decision-making skills for AI careers
Nurture leadership, teamwork, communication skills, and ethical technology practices
Provide exposure to industrial immersion programmes and internships for real-world experience
Develop future-ready AI professionals and "Whole Brain Change Makers" who drive technological advancement
Proficiency in artificial intelligence, machine learning algorithms, and data science methodologies
Strong programming skills and hands-on experience with AI/ML frameworks and tools
Ability to design, build, and deploy intelligent systems and machine learning solutions
Analytical and data-driven decision-making skills for technology-driven industries
Readiness for careers in AI engineering, ML research, data science, and technology innovation
Capability to drive technological advancement and create meaningful societal impact
Structured modules covering AI, ML, data science, and computing fundamentals for progressive learning
Industry-aligned curriculum developed by AI and ML experts reflecting the latest technological advancements
Exposure to diverse peers, technology mentors, and AI industry practitioners
Industrial immersion programmes and internships providing real-world AI and ML experience
Hands-on AI/ML projects and live assignments building professional competence and confidence
Employable opportunities through industry adoption across AI and technology sectors
State-of-the-art laboratory facilities and coding practice environments for applied learning
Support for AI-driven and technology startups at various stages of development
Our doors are always open for the lifelong learner in you, with special advantage as a JGiet